“Spread the Word”: Creepypasta, Hauntology, and an Ethics of the Curse
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
According to Internet legend, a cursed JPEG file circulates online, featuring an image of a dog with a much too human grin. If you happen to see this image, the dog will haunt your dreams, asking you to “spread the word” by showing its picture to someone else, thereby passing on the curse. The story of Smile.dog, which is the demon dog's name, is a so-called creepypasta – that is, a digital urban legend. Its curse is therefore a playful one, meant to be circulated as a hoax, but it is also a productive, yet challenging, place to ruminate upon ethics in an era of digital media. Through the lens of Jacques Derrida's concept of hauntology – a haunted ontology – this article explores what digital monsters and curses might teach us about ethics as a question of responding to that which haunts and hoaxes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it